labelhead-artist-momentum

MCP serverDev tools

labelhead-artist-momentum is an MCP server that provides trending hip-hop artist momentum scores across four cultural dimensions. It lets an AI agent fetch momentum scores showing which hip-hop artists are trending, so the person using the agent can see current artist momentum without leaving the conversation.

Use labelhead-artist-momentum in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add labelhead-artist-momentum and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use labelhead-artist-momentum to get trending artists

Details

Available today. Use it from your connected AI after setup.

Have an MCP-compatible AI agent that can connect to MCP servers.

labelhead-artist-momentumStart free

What your AI can do with it

  • Fetch momentum scores for trending hip-hop artists
  • Show momentum across four cultural dimensions
  • Return artist momentum data to the agent

Getting started

  1. Have an MCP-compatible AI agent that can connect to MCP servers.
  2. Add the labelhead-artist-momentum server to the agent's MCP server configuration.
  3. Restart or reload the agent so it discovers the new server.
  4. Ask the agent for hip-hop artist momentum scores to confirm the connection works.

Install labelhead-artist-momentum

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user labelhead-artist-momentum 'https://labelhead-mcp-public-production.up.railway.app/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://labelhead-mcp-public-production.up.railway.app/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=labelhead-artist-momentum&config=eyJ1cmwiOiJodHRwczovL2xhYmVsaGVhZC1tY3AtcHVibGljLXByb2R1Y3Rpb24udXAucmFpbHdheS5hcHAvbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://labelhead-mcp-public-production.up.railway.app/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add labelhead-artist-momentum --url 'https://labelhead-mcp-public-production.up.railway.app/mcp'

    Run it once, then sign in with codex mcp login labelhead-artist-momentum if the server asks for an account.

From the project's README

As published by paperclipai/paperclip in README.md.

Quickstart · Docs · GitHub · Discord · Twitter · Website

Paperclip is the app people use to manage AI agents for work.

Open-source orchestration for teams of AI agents.

If OpenClaw is an employee, Paperclip is the company.

Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.

It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.

Manage business goals, not pull requests.

StepExample
01Define the goal"Build the #1 AI note-taking app to $1M MRR."
02Hire the teamCEO, CTO, engineers, designers, marketers — any bot, any provider.
03Approve and runReview strategy. Set budgets. Hit go. Monitor from the dashboard.

If it can receive a heartbeat, it's hired.

Custom processes, HTTP endpoints, and external adapter packages extend the roster. See the adapter overview for setup and capabilities.

Paperclip is right for you if

  • ✅ You want to build autonomous AI organizations
  • ✅ You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal
  • ✅ You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing
  • ✅ You want agents running autonomously 24/7, but still want to audit work and chime in when needed
  • ✅ You want to monitor costs and enforce budgets
  • ✅ You want a process for managing agents that feels like using a task manager
  • ✅ You want to manage your autonomous businesses from your phone

The four pillars

Four things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.

PillarBuilt forWhat it covers
Agentic Task Manager — Declare intent. Agents work. You verify the output.Everyone, dailyTasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests
Org Chart for Agents — Roles, permissions & boundaries for humans and agents.ManagersMixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities
Agent Employee Training — Design, train & evaluate your AI employees.EnablersSkill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates
Agentic OS — The infrastructure that makes the work run.IT & platformCross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing

Features

Experimental Agent Chat and chat/email connectors add conversations with agents in Paperclip and through configured services such as Slack, Discord, Telegram, and AgentMail. Enable the relevant instance settings to try them.

Problems Paperclip solves

Without PaperclipWith Paperclip
❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything.✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots.
❌ You manually gather context from several places to remind your bot what you're actually doing.✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why.
❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents.✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts.
❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened.✅ Spend tracking, budget alerts, and automatic pauses help you control the cost of ongoing work.
❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off.✅ Routines create assigned tasks on a schedule, with outputs and run history you can inspect.
❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it.✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work.

Why Paperclip is special

Paperclip handles the hard orchestration details correctly.

Atomic task checkout.A single assignee and execution locks prevent competing runs from claiming the same task.
Persistent work context.Tasks, comments, and documents stay in Paperclip. Supporting adapters resume saved sessions across runs.
Runtime skill injection.Agents can learn Paperclip workflows and project context at runtime, without retraining.
Governance with rollback.Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely.
Accountable connections.Human access, agent eligibility, and gateway action permissions are separate controls. Approve a call once or save a revocable rule.
Goal-aware execution.Linked tasks and projects carry goal ancestry so agents see the "why," not just a title.
Portable company templates.Export/import orgs, agents, and skills with secret scrubbing and collision handling.
Organization boundaries.Company-scoped access checks keep each organization's work, agents, and activity separate within one deployment.

What's Under the Hood

Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:

┌──────────────────────────────────────────────────────────────┐
│                       PAPERCLIP SERVER                       │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │Identity & │  │  Work &   │  │ Heartbeat │  │Governance │  │
│  │  Access   │  │   Tasks   │  │ Execution │  │& Approvals│  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │ Org Chart │  │Workspaces │  │  Plugins  │  │  Budget   │  │
│  │ & Agents  │  │ & Runtime │  │           │  │ & Costs   │  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │ Routines  │  │ Secrets & │  │ Activity  │  │  Company  │  │
│  │& Schedules│  │  Storage  │  │ & Events  │  │Portability│  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
└──────────────────────────────────────────────────────────────┘
         ▲              ▲              ▲              ▲
   ┌─────┴─────┐  ┌─────┴─────┐  ┌─────┴─────┐  ┌─────┴─────┐
   │  Claude   │  │   Codex   │  │   CLI     │  │ HTTP/web  │
   │   Code    │  │           │  │  agents   │  │   bots    │
   └───────────┘  └───────────┘  └───────────┘  └───────────┘

The Systems

Identity & Access — Two deployment modes (trusted local or authenticated), human roles and permissions, agent API keys, short-lived run JWTs, company memberships, and invite flows. Responsible-user attribution follows work through delegation and supported managed connections.

Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired.

Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. Search across work, review document revisions, and leave anchored feedback.

Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce logs, usage records, and adapter-specific session state. Bounded recovery handles supported failures and surfaces cases that need human action.

Workspaces & Runtime — Project repositories and workspaces, optional isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Sandbox providers extend execution beyond the local host; availability depends on the configured environment and adapter.

Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, and agent pause/resume/terminate. Configured task reviews govern completion; connection action approvals govern calls through the tool gateway.

Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Enforcement uses recorded spend; usage reporting and in-flight work can delay a stop.

Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed.

Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it.

Secrets & Storage — Company secrets and per-person secret values, encrypted credential storage, local or S3-compatible file storage, attachments, and work products. Secret references supply credentials to authorized runs without copying values into ordinary agent configuration.

Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why.

Company Portability — Preview, export, and import organization packages with agents, skills, and optional projects, routines, tasks, and attachments. Referenced secret values are omitted; review packages before sharing because plain environment values and local paths can remain. Packages share an operating setup; full-instance recovery uses backups.

What Paperclip is not

Not just a chatbot.Conversations stay attached to tasks, plans, decisions, and outputs. Experimental Agent Chat can hand work off to assigned tasks.
Not an agent framework.We don't tell you how to build agents. We tell you how to run a company made of them.
Not just a workflow builder.Routines and experimental pipelines operate within an organization, with roles, goals, budgets, and governance.
Not a prompt manager.Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in.
Not limited to one agent.Start with one agent and grow into a team with shared skills, delegation, and review.
Not only for code review.Coding and PR review fit alongside research, operations, content, and other work.

Quickstart

Open source. Self-hosted. No Paperclip account required. Follow the guided quickstart to set up your first agent.

Just ask your agent to install Paperclip

Share the installation guide with your agent.

Or install it yourself

With Node.js 24.11 or newer installed:

npx paperclipai@latest onboard --yes

The CLI runs from npm's cache; your instance configuration and data persist locally.

See the installation guide for managed installs, pinned versions, canary and git-ref installs, updates, rollback, service management, and uninstalling.

For an isolated manual test instance that is already initialized with a CEO agent, use test-drive. It stays in the foreground, never installs a service or creates a first task, and opens the browser only after setup succeeds:

ANTHROPIC_API_KEY=... npx paperclipai test-drive
OPENAI_API_KEY=... npx paperclipai test-drive --harness codex
OPENROUTER_API_KEY=... npx paperclipai test-drive \
  --harness opencode \
  --model openrouter/anthropic/claude-sonnet-4.5

Each run without --data-dir gets a unique, retained temporary directory; its absolute path is printed at startup. Pass --data-dir to reuse one, or --no-browser to leave the initialized instance unopened. When invoked from a linked Git worktree, test-drive also enables task execution in that worktree. See the test-drive guide for credential and reuse behavior.

Shortened here. Read the whole README on GitHub.

Tools it offers (3)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • get_trending_artists
  • get_scoring_explainer
  • check_artist_momentum

Signals

GitHub stars
95k
Forks
16k
Last commit
Oct 2026

Ahel review

  • S4low
    published under incorporatedpartners's namespace; repository belongs to paperclipai

Automated review, not a security audit. Ruleset v1.

Questions

What are the four cultural dimensions?
The item does not name the four cultural dimensions. It only states that momentum scores are provided across four cultural dimensions.
Does it cover artists outside hip-hop?
No. The server provides momentum scores for hip-hop artists only.
How do I install it?
Add the server to your MCP-compatible agent's server configuration, then reload the agent. The item does not list a separate installer.
What kind of scores does it return?
It returns momentum scores showing which hip-hop artists are trending across four cultural dimensions.
Advanced
Delivery
labelhead-artist-momentum MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-incorporatedpartners-labelhead-artist-momentum
Source
github.com/paperclipai/paperclip
Hosted endpoint
https://labelhead-mcp-public-production.up.railway.app/mcp